Data and AI Transformation Lead & Country Delivery Lead
Purpose of the Role
Serve as the Program Leader for a large‑scale Data Transformation initiative and act as the Delivery Leader for AI & Analytics (AIA) across the Nordics region. The role drives strategic vision, execution excellence, stakeholder alignment, and organisational readiness for data, cloud, and AI‑enabled transformation programs.
Key Responsibilities
1. Strategy & Vision
Define the data transformation vision, roadmap, and success metrics for the region.
Partner with executive leadership to shape and execute long‑term transformation strategy.
2. Program Leadership
Lead cross‑functional programs spanning technology, process, and data.
Establish governance, communication structures, and decision‑making frameworks to ensure smooth execution.
3. Stakeholder Alignment
Act as the bridge between business, technology, and functional teams.
Facilitate stakeholder engagement, manage expectations, and drive cohesive change adoption.
4. Change Management
Drive organisational readiness, communication, training, and culture‑shift initiatives.
Mitigate resistance and embed new ways of working across teams.
5. Talent Management
Lead, mentor, and inspire teams to foster a collaborative and innovative environment.
Plan for skill development, career progression, and nearshore capability expansion.
Bridge demand–supply gaps through proactive workforce planning.
6. Delivery Excellence
Oversee delivery of data and analytics programs from inception to completion.
Embed a culture of AI‑led continuous improvement and innovation.
Develop contingency plans to address potential risks.
7. Cross‑Sell & Up‑Sell
Engage with clients to understand needs and deliver tailored solutions.
Collaborate across teams to expand portfolio and client base.
Lead customer discussions to showcase practice capabilities and insights on Agentic AI.
Experience Required
Data and BI programs
Leading multiple transformation initiatives
Senior technical leadership
Strong understanding of data, cloud, and AI technologies
Ability to collaborate effectively with diverse technical and non‑technical stakeholders
Key Competencies
Technical Expertise: Advanced knowledge of platform architecture, cloud, and integration technologies
Strategic Thinking: Ability to align technology with business strategy
Leadership: Strong mentoring, influencing, and communication skills
Innovation: Ability to evaluate and adopt emerging technologies
Collaboration: Skilled at working across functions and geographies
Problem‑Solving: Strong analytical and decision‑making abilities
Governance: Experience establishing and enforcing technical standards
